SYSYDSMar 8, 2018

A Multiple-Input Multiple-Output Cepstrum

arXiv:1803.030802 citationsh-index: 13
AI Analysis

Provides a novel tool for fault detection in MIMO dynamical systems, particularly useful for control engineers dealing with systems where model-based approaches are challenging.

This paper extends cepstrum analysis to multiple-input multiple-output (MIMO) systems using the Smith-McMillan form, enabling model-free fault detection. The method successfully detects faulty behavior in a non-isothermal continuous stirred tank reactor, even when hidden by controller compensation.

This paper extends the concept of scalar cepstrum coefficients from single-input single-output linear time invariant dynamical systems to multiple-input multiple-output models, making use of the Smith-McMillan form of the transfer function. These coefficients are interpreted in terms of poles and transmission zeros of the underlying dynamical system. We present a method to compute the MIMO cepstrum based on input/output signal data for systems with square transfer function matrices (i.e. systems with as many inputs as outputs). This allows us to do a model-free analysis. Two examples to illustrate these results are included: a simple MIMO system with 3 inputs and 3 outputs, of which the poles and zeros are known exactly, that allows us to directly verify the equivalences derived in the paper, and a case study on realistic data. This case study analyses data coming from a (model of) a non-isothermal continuous stirred tank reactor, which experiences linear fouling. We analyse normal and faulty operating behaviour, both with and without a controller present. We show that the cepstrum detects faulty behaviour, even when hidden by controller compensation. The code for the numerical analysis is available online.

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